extended-abstract

Harvesting Entity-relation Social Networks from the Web: Potential and Challenges

Authors:

Saeed Amal,

Tsvi Kuflik,

Einat MinkovAuthors Info & Claims

UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

Pages 351 - 352

https://doi.org/10.1145/3079628.3079656

Published: 09 July 2017 Publication History

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Abstract

We describe a graph-based entity profiling system (GBEP) that extracts information about persons of interest from the Web and uses this information to construct a joint social graph. GBEP then employs graph-based measures to assess inter-personal relatedness, performing social recommendation. Importantly, GBEP provides detailed explanations for its suggestions in the form of relational connecting paths. Initial positive results were obtained for recommending related conference participants to each other using a joint social graph constructed for this purpose.

References

[1]

Lada A Adamic and Eytan Adar. 2003. Friends and neighbors on the We b. Social Networks 25, 3 (2003).

Google Scholar

[2]

Peter Brusilovsky, Jung Sun Oh, Claudia López, Denis Parra, and Wei Jeng. 2017. Linking information and people in a social system for academic conferences . New Review Of Hypermedia And Multimedia (2017).

Google Scholar

[3]

Ni Lao, Einat Minkov, and William W. Cohen. 2016. Learning Relational Fe a- tures with Backward Random Walks. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) .

Google Scholar

[4]

Einat Minkov and William W Cohen. 2010. Improving graph-walk-based s imi- larity with reranking: Case studies for personal information management . ACM Transactions on Information Systems (TOIS) 29, 1 (2010), 4.

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Cited By

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Korutla RTedder DBrogan KMilosevic MWilczek MShehadeh NShara NRoss EAmal S(2025)Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing ExplainabilityBiomedicines10.3390/biomedicines1302025813:2(258)Online publication date: 21-Jan-2025
https://doi.org/10.3390/biomedicines13020258
Amal SAdam MBrusilovsky PMinkov EKuflik T(2020)Personalized Multifaceted Visualization of Scholars ProfilesProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399968(1-3)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399968
Amal SAdam MBrusilovsky PMinkov ESegal ZKuflik T(2020)Visualizing Personalized Multifaceted ad-hoc Social NetworkAdjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3386392.3397606(101-102)Online publication date: 14-Jul-2020
https://dl.acm.org/doi/10.1145/3386392.3397606
Show More Cited By

Index Terms

Harvesting Entity-relation Social Networks from the Web: Potential and Challenges
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Information extraction
  2. Information systems applications
    1. Collaborative and social computing systems and tools

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Information

Published In

UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

July 2017

420 pages

ISBN:9781450346351

DOI:10.1145/3079628

General Chairs:
Maria Bielikova
Slovak University of Technology in Bratislava, Slovakia
,
Eelco Herder
L3S Research Center, Germany and Radboud Universiteit Nijmegen, The Netherlands
,
Program Chairs:
Federica Cena
University of Torino, Italy
,
Michel Desmarais
Polytechnique University, Montreal, Canada

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 09 July 2017

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UMAP '17

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UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization

July 9 - 12, 2017

Bratislava, Slovakia

Acceptance Rates

UMAP '17 Paper Acceptance Rate 29 of 80 submissions, 36%;

Overall Acceptance Rate 162 of 633 submissions, 26%

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UMAP '25

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sigchi
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33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Korutla RTedder DBrogan KMilosevic MWilczek MShehadeh NShara NRoss EAmal S(2025)Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams: Enhancing ExplainabilityBiomedicines10.3390/biomedicines1302025813:2(258)Online publication date: 21-Jan-2025
https://doi.org/10.3390/biomedicines13020258
Amal SAdam MBrusilovsky PMinkov EKuflik T(2020)Personalized Multifaceted Visualization of Scholars ProfilesProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399968(1-3)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399968
Amal SAdam MBrusilovsky PMinkov ESegal ZKuflik T(2020)Visualizing Personalized Multifaceted ad-hoc Social NetworkAdjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3386392.3397606(101-102)Online publication date: 14-Jul-2020
https://dl.acm.org/doi/10.1145/3386392.3397606
Amal SAdam MBrusilovsky PMinkov ESegal ZKuflik T(2020)Demonstrating Personalized Multifaceted Visualization of People Recommendation to Conference ParticipantsCompanion Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3379336.3381455(49-50)Online publication date: 17-Mar-2020
https://dl.acm.org/doi/10.1145/3379336.3381455
Amal SAdam MBrusilovsky PMinkov EKuflik T(2019)Enhancing explainability of social recommendation using 2D graphs and word cloud visualizationsCompanion Proceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3308557.3308702(21-22)Online publication date: 16-Mar-2019
https://dl.acm.org/doi/10.1145/3308557.3308702
Li PWang HLi HWu X(2018)Employing Semantic Context for Sparse Information Extraction AssessmentACM Transactions on Knowledge Discovery from Data10.1145/320140712:5(1-36)Online publication date: 27-Jun-2018
https://dl.acm.org/doi/10.1145/3201407

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Relational social recommendation: Application to the academic domain

Analyzing a User's Contributive Social Capital Based on Acitivities in Online Social Networks and Media

Topic-graph based recommendation on social tagging systems: a study on research gate

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